Python
Machine Learning (ML)
Deep Learning2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.
3. Hands-on experience with statistical, machine-learning tools and techniques
4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.
5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.
6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.
7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.
8. Expert level coding experience in Python.
9. Technologies: Backend - Python (Programming Language)
10. Should have the ability to think long term solutions, modularity, and reusability of the components.
11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.
12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Quantiphi Inc.
About
Quantiphi is a category-defining Data Science and Machine Learning software and services company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact.
We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design.
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Company Website: https://www.bizongo.com/
Any solution worth anything is unfailingly preceded by clear articulation of a problem worth solving. Even a modest study of Indian Packaging industry would lead someone to observe the enormous fragmentation, chaos and rampant unreliability pervading the ecosystem. When businesses are unable to cope even with these basic challenges, how can they even think of materializing an eco-friendly & resource-efficient packaging economy? These are some hardcore problems with real-world consequences which our country is hard-pressed to solve.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon